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A Novel Fourier Descriptor for Shape Retrieval

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Fuzzy Systems and Knowledge Discovery (FSKD 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4223))

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Abstract

A novel Fourier descriptor (FD), which is derived from chord-length functions (CLF) obtained through equal-arc-length partitions of a contour, is proposed. The proposed FD is tested on a standard shape database and experimental results show that it outperforms the existing FDs which are derived from other shape signatures.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Fudan University, Shanghai, 200433, P.R. China

    Bin Wang & Chaojian Shi

  2. Merchant Marine College, Shanghai Maritime University, Shanghai, 200135, P.R. China

    Chaojian Shi

Authors
  1. Bin Wang
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  2. Chaojian Shi
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University,, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Life Science Research Center, School of Electronic Engineering, Xidian University,, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  3. School of Electrical and Electronic Engineering, Xidian University, 710071, Xi’an, China

    Guanming Shi

  4. School of Information Technology and Electrical Engineering, The University of Queensland, 4072, Brisbane, Queensland, Australia

    Xue Li

  5. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, B., Shi, C. (2006). A Novel Fourier Descriptor for Shape Retrieval. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_101

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  • DOI: https://doi.org/10.1007/11881599_101

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45916-3

  • Online ISBN: 978-3-540-45917-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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